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Artificial Intelligence Specialist

Job in 201301, Noida, Uttar Pradesh, India
Listing for: NetAmbit
Full Time position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Urgently Required :

Job Title:

Product Manager – AI Initiatives

Location:

Noida

Department:
Product

Reports To:

Head of Product

Role Overview

We are looking for a dynamic Product Manager – AI Initiatives to lead the strategy, development, and execution of AI-driven products and internal automation programs. This role involves translating business challenges into scalable AI solutions, collaborating with cross-functional teams, and ensuring measurable impact through responsible AI deployment.

The ideal candidate brings strong product thinking, hands-on understanding of AI/ML capabilities, and the ability to drive execution from concept to launch.

Key Responsibilities

AI Product Strategy & Roadmap

- Identify high-impact opportunities to apply AI across customer experience, operations, analytics, and automation.
- Define product vision, roadmap, and success metrics for AI initiatives.
- Prioritize use cases based on ROI, feasibility, data readiness, and business value.

⚙️ Execution & Delivery

- Translate business requirements into product specifications, workflows, and user stories.
- Collaborate with data science, engineering, UX, and business stakeholders to deliver AI solutions.
- Lead sprint planning, backlog prioritization, and milestone tracking.
- Ensure successful transition from model experimentation to production deployment.

AI Use Case Development

Drive initiatives such as:

- Conversational AI / Chatbots
- Predictive Analytics
- Recommendation Systems
- Document Intelligence & Automation
- Personalization Engines
- Internal Productivity Automation

Data & Model Governance

- Partner with data teams to ensure data quality, labeling strategy, and pipeline readiness.
- Define evaluation metrics for model accuracy, bias, and performance.
- Ensure compliance with privacy, security, and responsible AI standards.

Stakeholder Management

- Act as a bridge between business leadership and technical teams.
- Present progress, insights, and ROI to senior management.
- Enable adoption by training teams on AI-driven workflows.

Continuous Improvement

- Monitor production AI performance and user adoption.
- Drive iterative improvements based on analytics and feedback.
- Stay updated with emerging AI technologies and tools.

Required Qualifications

- Bachelor’s degree in Engineering, Computer Science, Business, or related field.
- 4–8+ years of product management experience.
- Minimum 1 year working on AI/ML, data products, or automation initiatives.
- Strong understanding of machine learning concepts, LLMs, APIs, and data pipelines.
- Experience writing PRDs, user stories, and product roadmaps.
- Proven ability to manage cross-functional technical teams.

Preferred Qualifications @@@@

- Experience launching AI features in production environments.
- Familiarity with:
- NLP / Generative AI
- Cloud AI platforms
- Analytics dashboards
- API-based architectures
- Experience in regulated industries (Finance, Healthcare, Insurance, etc.) is a plus.

Key Skills

- AI product lifecycle management
- Problem structuring & solution design
- Strong analytical and data interpretation ability
- Excellent communication & stakeholder management
- Agile / Scrum execution
- Decision-making under ambiguity

Success Metrics

- Number of AI solutions deployed to production
- Business impact (cost reduction, revenue growth, automation gains)
- Adoption rate of AI tools
- Model performance improvements over time
- Delivery within timelines and budget

Who Should Apply

Professionals who enjoy solving complex business problems, translating them into intelligent systems, and driving measurable outcomes using AI technologies in real-world environments.
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